Exploring the Social Media Discussion of Breast Cancer Treatment Choices: Quantitative Natural Language Processing Study.

Journal: JMIR cancer
PMID: 39881478

Abstract

BACKGROUND: Early-stage breast cancer has the complex challenge of carrying a favorable prognosis with multiple treatment options, including breast-conserving surgery (BCS) or mastectomy. Social media is increasingly used as a source of information and as a decision tool for patients, and awareness of these conversations is important for patient counseling.

Authors

  • Daphna Y Spiegel
    Department of Radiation Oncology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave, Boston, MA, 02215, United States, 1 6176672345.
  • Isabel D Friesner
    Bakar Computational Health Sciences Institute, University of California, San Francisco.
  • William Zhang
    Pacific Northwest National Laboratory, Richland, WA 99354, USA.
  • Travis Zack
    Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA.
  • Gianna Yan
    Department of Radiation Oncology, University of California, San Francisco, San Francisco, CA, United States.
  • Julia Willcox
    Department of Radiation Oncology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave, Boston, MA, 02215, United States, 1 6176672345.
  • Nicolas Prionas
    Department of Radiation Oncology, University of California, San Francisco, San Francisco, CA, United States.
  • Lisa Singer
    Department of Radiation Oncology, University of California, San Francisco, San Francisco, California, USA.
  • Catherine Park
    Department of Radiation Oncology, University of California, San Francisco, San Francisco, CA, United States.
  • Julian C Hong
    All Authors: Duke University, Durham, NC.

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